g14r / neurohackmap

The neurohackmap project plans to collect geographic location and research topic information from neurohackademy participants, create an interactive network visualization, and run network analysis.

Neurohackmap

Neurohackmap is a project created at Neurohackademy_2019 and is a collection of scripts to generate interactive visualizations of participants education and research training across time.

Documents included are:

1. Questionnaire to collect information from participants (saved and imported as .csv)
2. Jupyter notebook for cleaning dataframe and creating map based visualizations (Neuromap_code.ipynb)
3. Jupyter notebook for plotting mobility across career stages as line maps (line_maps.ipynb, uses line_maps_data.csv)
4. Jupyter notebook for calculating and plotting distance traveled as a function of career stage (Plotting_distances.ipynb)
5. Jupyter notebook for creating wordcloud visualizations of shared research interests across career stages (wordcloud_neurohackmap_fin09.08.19.ipynb, uses images in the img folder)
6. Graphs from spring modeling analysis in the spring_images folder

Required installations

Use package managers pip or conda to install the following necessary libaries.

install folium, pandas, numpy, geopy, ipyleaflet

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update documentation as appropriate.

Authors

Antonija Kolobaric, Giacomo Ariani, Hannah Coyle, Johnny Lau, Daria Proklova, Damion V. Demeter